Let’s Go To The Movies

• The largest part of my data comes from a data set I got from github. yash91sharma github created the data for a project similar to mine in which they asked which countries made the most movies.This data set contains 45,466 rows of data and seems to have been made around 2017.
• I used alexsychu kaggle to gather some more data up to 2020. This second dat set had an additional 7668 rows of data. This user was trying to answer the question of how to predict if a movie will do well.
• Lastly for movie data, I used data from unanimad kaggle . This data set had 10395 rows of data and this kaggle user asked various questions about who won Oscars.
• My last and only ‘non-movie’ data set comes from officialdata.org , where I obtained 223 rows of inflation data which allowed me to calculate budgets and gross revenue with inflation as a factor.

Some Dataset Numbers

The data I was able to collect contains 4,834 movies nominated for an Academy Award since its inception in 1929. Of these 4,834 movies. 1,274 won at least one award. There have been 10,395 total Oscar nominations, and 2,357 total Oscar wins in the dataset. 566 movies have been nominated for Best Picture in its many forms. Out of these, 93 won.1,154 movies have had an actor or actress nominated in either a leading or supporting role.313 movies had at least one winner in an acting category.

Popular Movies

There are a total of 680,347,622 votes in the dataset.5,540 movies have received at least 10,000 votes on imdb. Of these movies, 221 were nominated for Best Picture. 37 won Best Picture. Doing the math, this means that 56.00 Best Picture winners have less than 10,000 votes on imdb according to this data.

Plotting Profit

With Inflation

Highest Percent Profit

Lowest Percent Profit

Who spends more money?